Impact of ChatGPT on Academic Integrity and Assessment Effectiveness for E-learning in Higher Education: The Need for Redesigning Assessment Practices

In recent years, there has been a growing trend of integrating Artificial Intelligence (AI) into e-learning in higher education. ChatGPT has emerged as one of the most widely utilised AI tools in students' studies. However, the emergence of ChatGPT has contributed to the development of education while simultaneously impacting the integrity of education and the effectiveness of traditional assessment methods. Whether the teacher's teaching goals are achieved or not, whether the students' learning is authentic and effective, and how to ensure the effectiveness of the assessment pose significant challenges to the educator or education sector in the context of artificial intelligence. Therefore, this paper aims to clarify the negative impact of ChatGPT on educational integrity and assessment effectiveness through a systematic literature review. Through the meticulous synthesis and analysis of diverse existing research, this paper finds that several scholars have already clarified the pressing need for redesigning the assessment method within the context of e-learning. However, further research has found that there are several theoretical countermeasures and suggestions for the redesign of assessment methods, but a systematic system of assessment methods has not yet been formed. And there is no reflective analysis of the practice of the redesigned assessment methods. Therefore, this paper will, through a systematic literature review and reflective summarisation of educational assessment practices, aim to investigate effective and responsible assessment methods to mitigate the impact of the rapid development and inappropriate use of ChatGPT on education.